Xiaojuan Ma
Impact in
- Computer Science Applications top 0.5%
- Mobile Crowdsensing and Crowdsourcing
- Transportation top 1%
- Human Mobility and Location-Based Analysis
Papers in
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- Innovative Human-Technology Interaction 17
-
- Mobile Crowdsensing and Crowdsourcing 14
- Co-authors
- Leye WangDaqing ZhangDingqi YangBin GuoXiao HanHuamin QuZhenhui PengChao Chen
- Journals
- Proceedings of the ACM on Human-Computer Interaction (14 papers)IEEE Transactions on Visualization and Computer Graphics (11 papers)IEEE Transactions on Intelligent Transportation Systems (4 papers)International Journal of Human-Computer Studies (2 papers)ACM Transactions on Computer-Human Interaction (2 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Xiaojuan Ma
182 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 139
- Computer Science Applications 607
- Transportation 487
- Human-Computer Interaction 397
- Computer Vision and Pattern Recognition 635
- Artificial Intelligence 973
Countries citing papers authored by Xiaojuan Ma
This map shows the geographic impact of Xiaojuan Ma's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaojuan Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojuan Ma more than expected).
Fields of papers citing papers by Xiaojuan Ma
This network shows the impact of papers produced by Xiaojuan Ma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaojuan Ma. The network helps show where Xiaojuan Ma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaojuan Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 10 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 12 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 4 | |
| 10 | 2023 | 18 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 66 | |
| 14 | 2023 | 13 | |
| 15 | 2023 | 3 | |
| 16 | 2023 | 15 | |
| 17 | 2022 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2020 | 4 | |
| 20 | A Guided Tour of Literature Review:Facilitating Academic Paper Reading with Narrative Visualization | 2016 | 2 |
About Xiaojuan Ma
Xiaojuan Ma is a scholar working on Human-Computer Interaction, Computer Science Applications, Computer Vision and Pattern Recognition, Transportation and Artificial Intelligence, having authored 196 papers that have together received 2.9k indexed citations. Recurring topics across this work include Data Visualization and Analytics (23 papers), Human Mobility and Location-Based Analysis (17 papers), Innovative Human-Technology Interaction (17 papers), Topic Modeling (15 papers), Video Analysis and Summarization (14 papers), Mobile Crowdsensing and Crowdsourcing (14 papers), Speech and dialogue systems (13 papers) and Multimodal Machine Learning Applications (13 papers). The work is most often cited by research in Computer Science Applications (607 citations), Transportation (487 citations), Human-Computer Interaction (397 citations), Computer Vision and Pattern Recognition (635 citations) and Artificial Intelligence (973 citations). Xiaojuan Ma has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Leye Wang, Daqing Zhang, Dingqi Yang, Bin Guo, Xiao Han, Huamin Qu, Zhenhui Peng, Chao Chen, Ziming Wu and Gang Pan. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Intelligent Transportation Systems, International Journal of Human-Computer Studies and ACM Transactions on Computer-Human Interaction.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.